Text Embedding 3 Small
Cost-effective text embedding model by OpenAI yielding 1536-dimensional vectors with elastic dimension truncation for efficient vector database retrieval.
OpenAI
OpenAI
Specifications
Context window, ranked against other embedding models
Insufficient data
No published context window for this model or its peers.
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embedding
Pricing
Rates are read live
Pricing for text-embedding-3-small is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.
Availability
Not enough data yet
We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.
How Text Embedding 3 Small is billed
Billed at the provider's list price, with no per-token markup.
- Exact list price
- Tokens settle at the published rate of the model that served your call.
- Cache discounts passed through
- Provider prompt-caching discounts reach your balance with no added fee.
- Cost on every response
- Each response carries the
x-nr-request-costheader, so you can reconcile spend per request.
More from OpenAI
Frequently asked questions
What is Text Embedding 3 Small?
Cost-effective text embedding model by OpenAI yielding 1536-dimensional vectors with elastic dimension truncation for efficient vector database retrieval.
How much does Text Embedding 3 Small cost?
Text Embedding 3 Small is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.
Does Text Embedding 3 Small support tool calling and structured outputs?
No. Text Embedding 3 Small does not support tool calling, so it cannot invoke external tools or functions.
What inputs and outputs does Text Embedding 3 Small support?
Text Embedding 3 Small is an embedding model: it takes text as input and returns vector embeddings as output.
How do I use Text Embedding 3 Small via nRouter?
Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "openai/text-embedding-3-small".
When was Text Embedding 3 Small released?
Text Embedding 3 Small was released on January 25, 2024.
Where is the Text Embedding 3 Small documentation?
Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.
What other embedding models does OpenAI have?
Other OpenAI embedding models on nRouter include Whisper 1 (nrouter.ai/models/whisper-1), o1 (nrouter.ai/models/o1), GPT-5.5 Pro (nrouter.ai/models/gpt-5.5-pro), GPT-4o Mini TTS (nrouter.ai/models/gpt-4o-mini-tts-2025-12-15).
Pricing is live — see above for current rates.